Complex Pattern Mining: New Challenges, Methods and Applications
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- Artikel-Nr.: 10396843
Beschreibung
E cient Infrequent Pattern Mining using Negative Itemset Tree.- Hierarchical Adversarial Training for Multi-Domain.- Optimizing C-index via Gradient Boosting in Medical Survival Analysis.- Order-preserving Biclustering Based on FCA and Pattern Structures.- A text-based regression approach to predict bug-fix time.- A Named Entity Recognition Approach for Albanian Using Deep Learning.- A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining.- E cient Declarative-based Process Mining using an Enhanced Framework.- Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks.- Classification and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks.
Eigenschaften
Breite: | 157 |
Gewicht: | 538 g |
Höhe: | 21 |
Länge: | 241 |
Seiten: | 250 |
Sprachen: | Englisch |
Autor: | Annalisa Appice, Corrado Loglisci, Elio Masciari, Giuseppe Manco, Michelangelo Ceci, Zbigniew W. Ras |
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